Research Seminar for Brittany Fasy, Candidate for Assistant Professor

Brittany Fasy is a candidate for Assistant Professor in Computer Science and will present her research on Friday, January 30, at 4:10 p.m. in ROBH 301.  Her topic is "Topological Data Analysis and Road Network Comparison".

Brittany Terese Fasy is a postdoctoral Fellow at Tulane University.  Her primary field of esearch is topological data analysis, which uses topological concepts to describe, classify, and compare data sets.  At Tulane, she works with Dr. Carola Wenk on road network analysis.  Prior to working at Tulane, Dr. Fasy was a Postdoctoral Fellow at Carnegie Mellon University (CMU), working with Dr. Gary L. Miller on problems in computational geometry.  At CMU, Dr. Fasy helped establish the CMU TopStat research group, in collaboration with CMU statistics faculty and graduate students.  She is still an active member of CMU TopStat.

 Dr. Fasy completed her PhD in Computer Science at Duke University in 2012, advised by Dr. Herbert Edelsbrunner.  As a PhD student, she was a visiting scientist at IST Austria, a newly-established (scientific) research institute in Austria.  Dr. Fasy received her BS in Mathematics and Computer Science from Saint Joseph's University.  Her academic achievements include earning honorable mention in the USA Today's All-USA College Academic Team, and receiving the GAANN fellowship and the Barry M. Goldwater Scholarship.

http://www.cs.montana.edu/seminars/index.html

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